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An Improved Source Localization Algorithm in Presence of Sensor Location Errors
Received date: 2013-09-21
Revised date: 2014-01-21
Online published: 2014-02-19
The position and velocity of a moving source can be estimated by utilizing the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements between moving targets and sensors in the localization of wireless sensor networks. The traditional localization algorithms will lose accurate positioning effect in the presence of sensor location errors. Based on the maximum likelihood (ML) function, a closed-form approximate solution can be obtained. This paper develops an improved approximate maximum likelihood (AML) algorithm by updating the cost function with sensor uncertainty, which can allow real-time implementation as well as global convergence. Simulation results show that the proposed algorithm can attain the Cramer-Rao lower bound (CRLB) in the presence of sensor location errors, and it performs better than the modified two-step weighted least squares (2-step WLS) approach.
CAO Yalu , PENG Li . An Improved Source Localization Algorithm in Presence of Sensor Location Errors[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2014 , 35(7) : 1992 -1998 . DOI: 10.7527/S1000-6893.2013.0528
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